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Synchronous Neural Time

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Algorithms and Architectures

of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design;

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The Synchronous Trainers Survival Guide

The Synchronous Trainer's Survival Guide is a hands on resource for enhancing your real time e learning sessions. Written by Jennifer;

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Artificial-Intelligence-based Electrical Machines and Drives

Recently artificial-intelligence-based techniques (fuzzy logic, neural networks, fuzzy-neural networks, genetic algorithms, etc) have;

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Learning in Real Time

and improve interaction in their online courses by adding a synchronous learning component. The book offers keen insight into the world;

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Blended Synchronous Learning

Blended synchronous learning - where remote students participate in face-to-face classes by means of rich-media synchronous technologies;

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Power Converters and Ac Electrical Drives With Linear Neural Networks

, focusing on induction and permanent magnet synchronous motor drives. The third part examines theoretical aspects of linear neural networks;

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Power Converters And Ac Electrical Drives With Linear Neural

, focusing on induction and permanent magnet synchronous motor drives. The third part examines theoretical aspects of linear neural networks;

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Control of Non-conventional Synchronous Motors

Classical synchronous motors are the most effective device to drive industrial production systems and robots with precision and rapidity;

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Synchronization

oscillators. Examples of such systems range from mechanical clocks to population dynamics, from the human heart to neural networks. The main purpose;

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The Transformational Self

firing patterns of synchronous neural assemblies), the late adolescent reconfigured self-state becomes a true developmental potentiality;

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The Transformational Self

firing patterns of synchronous neural assemblies), the late adolescent reconfigured self-state becomes a true developmental potentiality;

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Neural Networks Modeling and Control

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and;

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Zeroing Dynamics, Gradient Dynamics, and Newton Iterations

Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas;

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Synchronous Online Counseling and Supervision in the 21st Century

In a time when the ability to adapt one's practice to the digital environment is paramount, Synchronous Online Counseling and Supervision;

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Direct Eigen Control For Induction Machines And Synchronous

Clear presentation of a new control process applied to induction machine (IM), surface mounted permanent magnet synchronous motor (SMPM-SM;

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Handbook of Neural Engineering

An important new work establishing a foundation for future developments in neural engineering The Handbook of Neural Engineering provides;

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Stability Of Stationary Sets In Control Systems With Discontinuous Nonlinearities

, cellular neural networks, phase-locked loops, and synchronous machines.;

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Synchronous Generators

Synchronous Generators, the first of two volumes in the Electric Generators Handbook, offers a thorough introduction to electrical energy;

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Fault-tolerant Agreement in Synchronous Message-passing Systems

behavior) in synchronous message-passing systems (i.e., systems whose progress is governed by the passage of time). To that end, the book considers;

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Design Rules for Permanent Magnet Synchronous Machine with Tooth Coil Winding Arrangement

Design Rules for Permanent Magnet Synchronous Machine with Tooth Coil Winding Arrangement is een boek van Cuvillier Verlag;

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Control of Synchronous Motors

Synchronous motors are indubitably the most effective device to drive industrial production systems and robots with precision and rapidity;

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Discrete-Time Recurrent Neural Control

The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple;

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Discrete-Time Recurrent Neural Control

The book presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple;

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Geochemical Mechanics and Deep Neural Network Modeling

testing by means of the updated deep machine learning of a convolutional neural network with multi-labeling of large earthquakes and of the;

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Circuit Complexity and Neural Networks

Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large;

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Educational Technology and Resources for Synchronous Learning in Higher Education

As more classes move to online instruction, there is a need for research that shows the effectiveness of synchronous learning. Educators;

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